A novel approach for establishing fitness standards for occupational task performance
| Autor: | Roxanne Buxton, Kirk L. English, Jeffrey W. Ryder, Alan H. Feiveson, Omar Bekdash, J. K. DeWitt, Elizabeth Goetchius, Paul Fullmer, Lori L. Ploutz-Snyder, J. Brent Crowell, Emma Y. Hwang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Physiology Computer science Boundary (topology) Machine learning computer.software_genre Task (project management) 03 medical and health sciences 0302 clinical medicine Physiology (medical) Humans Orthopedics and Sports Medicine Predictor variable Muscle Strength Work Performance Receiver operating characteristic Point (typography) business.industry Work (physics) Public Health Environmental and Occupational Health Statistical model 030229 sport sciences General Medicine Physical Functional Performance Physical Endurance Female Artificial intelligence Space Suits Completion time business computer 030217 neurology & neurosurgery |
| Zdroj: | European Journal of Applied Physiology. 119:1633-1648 |
| ISSN: | 1439-6327 1439-6319 |
| DOI: | 10.1007/s00421-019-04152-3 |
| Popis: | To identify strength and performance thresholds below which task performance is impaired. A new weighted suit system was used to manipulate strength-to-body-weight ratio during the performance of simulated space explorations tasks. Statistical models were used to evaluate various measures of muscle strength and performance on their ability to predict the probability that subjects could complete the tasks in an acceptable amount of time. Thresholds were defined as the point of greatest change in probability per change in the predictor variable. For each task, median time was used to define the boundary between “acceptable” and “unacceptable” completion times. Fitness thresholds for four space explorations tasks were identified using 23 physiological input variables. Area under receiver operator characteristic curves varied from a low of 0.68 to a high of 0.92. An experimental analog for altering strength-to-body weight combined with a probability-based statistical model for success was suitable for identifying thresholds for task performance below which tasks could either not be completed or time to completion was unacceptably high. These results provide data for strength recommendations for exploration mission ambulatory task performance. Furthermore, the approach can be used to identify thresholds for other areas where occupationally relevant tasks vary considerably. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink